273 search results - page 9 / 55 » Problem formulation as the reduction of a decision model |
GLVLSI
2005
IEEE
14 years 2 months ago
2005
IEEE
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
ECSQARU
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The problem of averaging outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuz...
ANOR
2002
13 years 8 months ago
2002
Abstract: We define events so as to reduce the number of events and decision variables needed for modeling batchscheduling problems such as described in [Westenberger and Kallrath ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
AAAI
2010
13 years 10 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...